Natural Language Processing
Amigo is the most comprehensive CX & domain NLP engine, powered by a knowledge graphontology with pre-defined products, attributes, slang, abbreviations and language packs.
Bidirectional Context
Product – Attribute - Product mapping for human like conversations & context specific streaming recommendations.
Polyglot Language Model
Understand mixed- language, slang etc. in the same model across languages.
Sentiment Detection
Superior sentiment detection with subjectivity analysis, intensifiers & negation handling.
Multi-intent processing
Context driven Multi-level intent analysis and joint slot filling.
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Machine vision
Advanced Machine vision models trained and optimized for domain specific customer journeys -ID OCR, photo extraction, face verification, liveness detection.
Face Verification
Matching live streaming video with photo & other details extracted from IDs.
Liveness detection
70+ parameters to detect liveness accurately.
Video Interface
Live video chat for authentication, Onboarding & sentiment.
Text Extraction/OCR
Text extraction from ID’s and documents for authentication and processing.
Speech
InsureBuddy speech engine is phonetically trained specifically for natural speech / voice recognition across languages, dialects, slang and abbreviations for highest accuracy.
Speech Verification
Voice/speech verification for MFA and frictionless transactions.
Multi lingual ASR
ASR with language models for lower WER and higher accuracy.
Speech Analytics
Realtime emotion detection and analysis for tailored actions.
Standards based
Conforming to standards like SSML, Voice XML , SISR, SRGS, WebRTC.
Recommendations
Amigo has one of the most advanced recommendation model with Ensemble Learning that combines multiple algorithms to deliver personalised recommendations for accurate targeting. Cognitive CX model fuses dynamic persona generation (based on Behavioural data analytics and past interactions) with context & Reinforcement learning for continuous improvement.
Dynamic Persona Generation
Industry specific models trained on your product and customer attributes
Nearest neighbor
Identify closest persona in the customer journey
Context pairing
Dynamic persona matching with current context for higher accuracy
Streaming recommendations
Live active stream of recommendations with reinforcement learning
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